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kekz

I automate infrastructure and build AI tools: LLM inference on a single RTX 5090, agents with Claude Code, and the Proxmox and Docker stack they run on.

Stack

AI
LLM inference, CUDA, C++, AI agents, Claude Code, Cline, ChatGPT
Automation
Ansible, CI/CD, Docker, Git, Bash, PowerShell
Virtualization
Proxmox, VMware vSphere, HA clustering, Dell PowerEdge, NetApp, Backup
Microsoft
Entra ID, Intune, Active Directory, Exchange, SCCM, SQL Server, SharePoint
Linux services
nginx, Postfix, PostgreSQL, MySQL, NFS, Samba
Network and security
Firewalls, VLAN, WLAN, Fiber networks, Vulnerability analysis, Penetration testing

Projects

Public repositories on GitHub, most recently pushed first.

imp

Run large AI chat models privately on your own NVIDIA RTX 50 or RTX PRO graphics card. On one RTX 5090, Qwen3.8-27B writes about 70 words per second, 1.4x faster than vLLM. Even a model almost four times larger than the card's memory runs. Works with apps made for ChatGPT or Claude. Starts with one docker command.

Language
C++
Stars
124
Last push
Updated